{"id":"W2101439782","doi":"10.1186/gb-2013-14-8-r88","title":"The genome and transcriptome of Haemonchus contortus, a key model parasite for drug and vaccine discovery","year":2013,"lang":"en","type":"article","venue":"Genome biology","topic":"Helminth infection and control","field":"Veterinary","cited_by":376,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; McGill University","funders":"Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research; Scottish Government; Wellcome Trust; University of Calgary; Natural Sciences and Engineering Research Council of Canada; Pfizer","keywords":"Biology; Haemonchus contortus; Genome; Transcriptome; Parasite hosting; Drug discovery; Computational biology; Human genetics; Key (lock); Genomics; Genetics; Evolutionary biology; Gene; Bioinformatics; Helminths; Zoology; Ecology; Gene expression","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001771943,0.0004634665,0.0003480416,0.0008153104,0.0005222883,0.0005420705,0.0001841129,0.0004315019,0.001273148],"category_scores_gemma":[0.0004144498,0.0002132872,0.0004404425,0.001196602,0.0002121724,0.0004171981,0.0003956301,0.000510417,0.0006370859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002894982,"about_ca_system_score_gemma":0.0006428145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002747832,"about_ca_topic_score_gemma":0.005950615,"domain_scores_codex":[0.9998884,0.00000860853,0.000007898945,0.00004607368,0.00003106615,0.0000178701],"domain_scores_gemma":[0.9997842,0.00005536285,0.0000471598,0.00001963288,0.00005478317,0.00003886735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004931334,0.00004581465,0.01799938,0.001901679,0.0001331031,0.0006677824,0.0005367871,0.001959591,0.9395216,0.0005754893,0.006278727,0.029887],"study_design_scores_gemma":[0.00004491549,0.00053299,0.787788,0.0005523838,0.0005620535,0.002177185,0.0008290195,0.008746636,0.07827259,0.00222781,0.1181542,0.0001122094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7587183,0.0102448,0.009583151,0.0009102196,0.0001593322,0.0001196383,0.2136781,0.001092986,0.005493424],"genre_scores_gemma":[0.5105264,0.00720373,0.02993093,0.0004374589,0.0001157802,0.0002377395,0.4468324,0.0004250683,0.00429058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002747832,"threshold_uncertainty_score":0.00546366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02620701181788017,"score_gpt":0.2864200979531421,"score_spread":0.260213086135262,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}